Showing 14 of total 14 results (show query)
nie-xiuquan
EMAS:Epigenome-Wide Mediation Analysis Study
DNA methylation is essential for human, and environment can change the DNA methylation and affect body status. Epigenome-Wide Mediation Analysis Study (EMAS) can find potential mediator CpG sites between exposure (x) and outcome (y) in epigenome-wide. For more information on the methods we used, please see the following references: Tingley, D. (2014) <doi:10.18637/jss.v059.i05>, Turner, S. D. (2018) <doi:10.21105/joss.00731>, Rosseel, D. (2012) <doi:10.18637/jss.v048.i02>.
Maintained by Xiuquan Nie. Last updated 3 years ago.
67.9 match 1.00 score
modeloriented
arenar:Arena for the Exploration and Comparison of any ML Models
Generates data for challenging machine learning models in 'Arena' <https://arena.drwhy.ai> - an interactive web application. You can start the server with XAI (Explainable Artificial Intelligence) plots to be generated on-demand or precalculate and auto-upload data file beside shareable 'Arena' URL.
Maintained by Piotr Piątyszek. Last updated 4 years ago.
axplainable-artificial-intelligenceemaexplainabilityexplanatory-model-analysisimlinteractive-xaiinterpretabilityxai
11.0 match 31 stars 5.94 score 14 scripts
detlew
PowerTOST:Power and Sample Size for (Bio)Equivalence Studies
Contains functions to calculate power and sample size for various study designs used in bioequivalence studies. Use known.designs() to see the designs supported. Power and sample size can be obtained based on different methods, amongst them prominently the TOST procedure (two one-sided t-tests). See README and NEWS for further information.
Maintained by Detlew Labes. Last updated 12 months ago.
5.5 match 20 stars 9.61 score 112 scripts 4 dependents
joshuaulrich
TTR:Technical Trading Rules
A collection of over 50 technical indicators for creating technical trading rules. The package also provides fast implementations of common rolling-window functions, and several volatility calculations.
Maintained by Joshua Ulrich. Last updated 1 years ago.
algorithmic-tradingfinancetechnical-analysis
3.3 match 338 stars 15.11 score 2.8k scripts 359 dependents
stefanocoretta
rticulate:Articulatory Data Processing in R
A tool for processing Articulate Assistant Advanced™ (AAA) ultrasound tongue imaging data and Carstens AG500/1 electro-magnetic articulographic data.
Maintained by Stefano Coretta. Last updated 24 days ago.
phoneticssoftwaretongue-imageultrasoundultrasound-tongue-imaging
5.9 match 5 stars 5.88 score 17 scripts
serkor1
cryptoQuotes:Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts
This high-level API client provides open access to cryptocurrency market data, sentiment indicators, and interactive charting tools. The data is sourced from major cryptocurrency exchanges via 'curl' and returned in 'xts'-format. The data comes in open, high, low, and close (OHLC) format with flexible granularity, ranging from seconds to months. This flexibility makes it ideal for developing and backtesting trading strategies or conducting detailed market analysis.
Maintained by Serkan Korkmaz. Last updated 4 months ago.
binancebinance-apibitmartbybitbybit-apicryptocurrenciescryptocurrencycryptocurrency-exchangeshuobihuobi-apikraken-apikraken-exchange-apikucoinkucoin-api
5.0 match 39 stars 6.66 score 26 scripts
rstudio
keras3:R Interface to 'Keras'
Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Maintained by Tomasz Kalinowski. Last updated 4 days ago.
1.8 match 845 stars 13.57 score 264 scripts 2 dependents
helmut01
replicateBE:Average Bioequivalence with Expanding Limits (ABEL)
Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' / 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (South Africa: Cmax) - is implemented as well.
Maintained by Helmut Schütz. Last updated 3 years ago.
3.3 match 9 stars 4.65 score 10 scripts
r-spark
sparklyr.flint:Sparklyr Extension for 'Flint'
This sparklyr extension makes 'Flint' time series library functionalities (<https://github.com/twosigma/flint>) easily accessible through R.
Maintained by Edgar Ruiz. Last updated 3 years ago.
apache-sparkdata-analysisdata-miningdata-sciencedistributeddistributed-computingflintremote-clusterssparksparklyrstatistical-analysisstatisticsstatssummarizationsummary-statisticstime-seriestime-series-analysistwosigma-flint
1.9 match 9 stars 6.46 score 54 scripts
cefet-rj-dal
daltoolbox:Leveraging Experiment Lines to Data Analytics
The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Maintained by Eduardo Ogasawara. Last updated 1 months ago.
1.7 match 1 stars 6.65 score 536 scripts 4 dependents
tscnlab
LightLogR:Process Data from Wearable Light Loggers and Optical Radiation Dosimeters
Import, processing, validation, and visualization of personal light exposure measurement data from wearable devices. The package implements features such as the import of data and metadata files, conversion of common file formats, validation of light logging data, verification of crucial metadata, calculation of common parameters, and semi-automated analysis and visualization.
Maintained by Johannes Zauner. Last updated 24 days ago.
dosimetrylighttime-series-analysiswearable-deviceswearable-sensors
1.8 match 12 stars 5.91 score 28 scripts
eddelbuettel
RcppUTS:Rcpp Bindings for Algorithms for Unevenly Spaced Time Series
Algorithms and operators for unevenly-spaced time series are provided based on the 'UTS' library by Andreas Eckner.
Maintained by Dirk Eddelbuettel. Last updated 7 years ago.
1.8 match 9 stars 2.65 score
